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Min-Ping Qian

Showing results (1-10 of 6) with videos related to

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Acta Biochimica Et Biophysica Sinica|July 16, 2004
Predicting polymerase II core promoters by cooperating transcription factor binding sites in eukaryotic genesXiao-Tu Ma, Min-Ping Qian, Hai-Xu Tang
Yi Chuan Xue Bao = Acta Genetica Sinica|October 29, 2005
Features of coding and noncoding sequences based on 3-tuple distributionsQiang Fu, Min-Ping Qian, Liang-Biao Chen, et al.
Yi Chuan = Hereditas|July 10, 2009
[Advances on bioinformatic research in transcription factor binding sites]Lin Hou, Min-Ping Qian, Yun-Ping Zhu, et al.
Journal of Theoretical Biology|November 22, 2011
Kinetic behavior of the general modifier mechanism of Botts and Morales with non-equilibrium bindingChen Jia, Xu-Feng Liu, Min-Ping Qian, et al.
Journal of Theoretical Biology|October 4, 2021
A data-driven method to learn a jump diffusion process from aggregate biological gene expression dataJia-Xing Gao, Zhen-Yi Wang, Michael Q Zhang, et al.
Nature Communications|November 22, 2017
BL-Hi-C is an efficient and sensitive approach for capturing structural and regulatory chromatin interactionsZhengyu Liang, Guipeng Li, Zejun Wang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Acta Biochimica Et Biophysica Sinica|July 16, 2004
Predicting polymerase II core promoters by cooperating transcription factor binding sites in eukaryotic genesXiao-Tu Ma, Min-Ping Qian, Hai-Xu Tang
Yi Chuan Xue Bao = Acta Genetica Sinica|October 29, 2005
Features of coding and noncoding sequences based on 3-tuple distributionsQiang Fu, Min-Ping Qian, Liang-Biao Chen, et al.
Yi Chuan = Hereditas|July 10, 2009
[Advances on bioinformatic research in transcription factor binding sites]Lin Hou, Min-Ping Qian, Yun-Ping Zhu, et al.
Journal of Theoretical Biology|November 22, 2011
Kinetic behavior of the general modifier mechanism of Botts and Morales with non-equilibrium bindingChen Jia, Xu-Feng Liu, Min-Ping Qian, et al.
Journal of Theoretical Biology|October 4, 2021
A data-driven method to learn a jump diffusion process from aggregate biological gene expression dataJia-Xing Gao, Zhen-Yi Wang, Michael Q Zhang, et al.
Nature Communications|November 22, 2017
BL-Hi-C is an efficient and sensitive approach for capturing structural and regulatory chromatin interactionsZhengyu Liang, Guipeng Li, Zejun Wang, et al.
Pageof 1